Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HTH_2017-07-11_final.stac-item
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HUH_2017-07-11_final.stac-item
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HVH_2017-07-11_final.stac-item
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HWH_2017-07-11_final.stac-item
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_53HNC_2017-07-14_final.stac-item
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_54HTH_2017-07-14_final.stac-item
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_53HPC_2017-07-14_final.stac-item
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_54HUH_2017-07-14_final.stac-item
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_53HQC_2017-07-14_final.stac-item
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55HBC_2017-07-15_final.stac-item
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55HCC_2017-07-15_final.stac-item
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_54HYH_2017-07-15_final.stac-item
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55HDC_2017-07-15_final.stac-item
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54HTH_2017-07-21_final.stac-item
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54HUH_2017-07-21_final.stac-item
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54HVH_2017-07-21_final.stac-item
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54HWH_2017-07-21_final.stac-item
2017-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HBC_2017-07-25_final.stac-item
2017-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HCC_2017-07-25_final.stac-item
2017-07-25 09:55:55	ga_s2bm_ard_3-2-1_54HYH_2017-07-25_final.stac-item
2017-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HDC_2017-07-25_final.stac-item
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HTH_2017-07-31_final.stac-item
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HUH_2017-07-31_final.stac-item
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HVH_2017-07-31_final.stac-item
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HWH_2017-07-31_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HNC_2018-02-22_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HPC_2018-02-22_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54HVH_2018-03-05_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54HWH_2018-03-05_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_55HBC_2018-03-05_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54HXH_2018-03-05_final.stac-item
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54HYH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HPH_2018-03-05_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_56HKH_2018-03-06_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55HFC_2018-03-06_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55HGC_2018-03-06_final.stac-item
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HNC_2018-03-14_final.stac-item
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HPC_2018-03-14_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HNC_2018-03-21_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54HTH_2018-03-21_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HPC_2018-03-21_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54HUH_2018-03-21_final.stac-item
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_53HQC_2018-03-21_final.stac-item
2018-03-24 10:35:41	ga_s2bm_ard_3-2-1_53HNC_2018-03-24_final.stac-item
2018-03-24 10:35:41	ga_s2bm_ard_3-2-1_53HPC_2018-03-24_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HTC_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HUC_2018-05-18_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HVC_2018-05-18_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HTC_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HUC_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPH_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HQH_2018-05-21_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53HNC_2018-05-23_final.stac-item
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53HPC_2018-05-23_final.stac-item
2020-05-20 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2020-05-20_final.stac-item
2020-05-20 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2020-05-20_final.stac-item
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final.stac-item
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final.stac-item
2020-05-23 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2020-05-23_final.stac-item
2020-05-23 10:06:21	ga_s2bm_ard_3-2-1_54HYH_2020-05-23_final.stac-item
2020-05-23 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2020-05-23_final.stac-item
2020-05-23 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2020-05-23_final.stac-item
2020-05-23 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2020-05-23_final.stac-item
2020-05-26 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2020-05-26_final.stac-item
2020-05-26 10:16:29	ga_s2bm_ard_3-2-1_54HVH_2020-05-26_final.stac-item
2020-05-26 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2020-05-26_final.stac-item
2020-05-26 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2020-05-26_final.stac-item
2020-05-26 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2020-05-26_final.stac-item
2020-05-26 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2020-05-26_final.stac-item
2020-05-27 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2020-05-27_final.stac-item
2020-05-27 09:46:14	ga_s2bm_ard_3-2-1_55HFC_2020-05-27_final.stac-item
2020-05-27 09:46:18	ga_s2bm_ard_3-2-1_55HEC_2020-05-27_final.stac-item
2020-05-27 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2020-05-27_final.stac-item
2020-05-27 09:46:29	ga_s2bm_ard_3-2-1_55HCC_2020-05-27_final.stac-item
2020-05-27 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2020-05-27_final
2020-05-27 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2020-05-27_final.stac-item
2020-05-27 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-05-27_final.stac-item
2020-05-27 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2020-05-27_final.stac-item
2020-05-29 10:26:28	ga_s2bm_ard_3-2-1_54HUH_2020-05-29_final.stac-item
2020-05-29 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2020-05-29_final.stac-item
2020-05-29 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2020-05-29_final.stac-item
2020-05-29 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2020-05-29_final.stac-item
2020-05-29 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2020-05-29_final.stac-item
2020-05-30 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-30_final.stac-item
2020-05-30 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-05-30_final.stac-item
2020-05-30 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2020-05-30_final.stac-item
2020-05-30 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-05-30_final.stac-item
2020-06-02 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2020-06-02_final.stac-item
2020-06-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-02_final.stac-item
2020-06-03 09:36:13	ga_s2bm_ard_3-2-1_56HKH_2020-06-03_final.stac-item
2020-06-03 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2020-06-03_final.stac-item
2020-06-03 09:36:18	ga_s2bm_ard_3-2-1_55HFC_2020-06-03_final.stac-item
2020-06-06 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2020-06-06_final
2020-06-06 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2020-06-06_final.stac-item
2020-06-06 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-06_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years